pilhyeon / basnet-pytorch Goto Github PK

After train the BaSNet, I only get 26.3 map@tiou=0.5 after train without changing any code. Could you give me any hit to reproduce the result?

Maybe the seed? I don't know.

The following are eval curve and the final test result.

you use following code to get predict probability
score_base = self.softmax(score_base)
score_supp = self.softmax(score_supp)

but your loss function is choose BCE loss.

I just cannot understand, this is a multiple classification problems, why you use softmax to get probability? mabey you should use sigmoid function, because every class may be occur.

Dear friend

Which github repo do you use to extract the img and flow for a video?

Do you use tsn github repo to extract the img and flow as follow:
https://github.com/yjxiong/temporal-segment-networks.git

Thanks!

I tweaked CAS module a little bit, and increased the learning rate. However after some iterations an "IndexError: list index out of range" occurred in test.py. I tried to locate the error, and it turned out that it's caused by this line:

Actually
assert proposals[i][0] is not None
failed.

Can you please help me solve this problem? Thanks in advance!

Dear author

Why the scale in config is 24? What is the meaning of scale?

Thanks a lot!

I find the test mAP before 150 is all zero.

As the features extraction process for activitynet is very time-consuming, is it possible for you to provide the activitynet features you used for this project?

any colab version?

The reported performance cannot be reproduced unless I use the pre-trained model. If I train the model from scratch, the performance never reaches the reported ones.

Can you share random seeds/exact setting that you chose to produce the reported performance?

Dear author:

What is your best random seed in the THUMOS 14 and ActivityNet?

Thanks!

Hi.
Why minmax_norm actually works scores / (max_scores per each class) (here is code)?

I found that there is a case that max_score is negative which means that sign is flipped due to minmax_norm.

Thank you!

Dear friend:

Could you share the visualization code of showing the Base and Suppression score curve as your paper?

Thanks a lot.

Do you have any plans to release the relevant code and features of ActivityNet 1.3 and 1.2?